Flag AI Slop in PRs
Details
- External ID
- 46650048
- Source
- HN
- Company
- —
- Product
- Flag AI Slop in PRs
- Website domain
- haystackeditor.com
- Launched
- Jan. 16, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2549407114624506
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi HN,Lately Github PRs have been drowning in a flood of AI slop. I’ve been seeing it myself, and I’m not the only one: https://x.com/mitchellh/status/2011819428061855915I think it’s great that folks are using AI tools to code faster and better, but too many folks are abusing them to make low-quality contributions to public repos. This takes a lot of reviewers’ mindshare.IMO there needs to be a mechanism to flag low-effort PRs with AI slop, so you can just skip reading them. So I built one: https://haystackeditor.com/slop-detectorIt’s a simple AI slop detector, and I also included some AI slop examples and a “Is it Slop or Not?” game for fun.It detects AI messups like: - changes totally unrelated to PR purpose - hallucinated functions - duplicate code (specifically, when the AI re-implements a functionality that already exists elsewhere) - terrible commentsWould you use a tool like this?
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Workflow automation
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- detect ai-generated content in pull requests
- Manually corrected
- False
Could you build this?
Partial The GitHub App interface and PR diff fetching are straightforward, but accurately detecting AI-generated low-quality code ('AI slop') requires sophisticated heuristic analysis, AST diffing, or fine-tuned detection models beyond simple prompts.
What it would actually take: A realistic version requires a GitHub App webhook handler that ingests PR diffs, parses abstract syntax trees (via tree-sitter) to identify repetitive boilerplate, hallucinated imports, and prompt leakage artifacts, and runs a calibrated ensemble of LLM evaluators or classifiers against historical PR datasets. Building reliable detection without drowning in false positives demands specialized data labeling and fine-tuning expertise on real-world code reviews.
Discussion
1 comment analyzed.
Competitors
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Attention rank: #60 of 81 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 67 days after the earliest competitor.
- Slop Meter for GitHub · hn · 2026-03-02 · 6 upvotes · similarity 0.56
- Slop or not · hn · 2026-03-12 · 19 upvotes · similarity 0.54
- AISlop, a CLI for catching AI generated code smells · hn · 2026-05-29 · 73 upvotes · similarity 0.53
- AI Slop Detector · ph · 2026-09-30 · 2 upvotes · similarity 0.51
- SlopScore · hn · 2026-01-13 · 5 upvotes · similarity 0.51
- Alchemize · hn · 2026-08-11 · 7 upvotes · similarity 0.49
- I made a tool that prevents websites from tracking you · hn · 2026-07-03 · 31 upvotes · similarity 0.46
- Scan any website for AI design patterns · hn · 2026-07-07 · 5 upvotes · similarity 0.46
Other launches for this product
- No other launches for this product.
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